{"id":"W3105746603","doi":"10.1016/j.autcon.2020.103447","title":"An A-Star algorithm for semi-optimization of crane location and configuration in modular construction","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"PCL Construction (Canada)","funders":"University of Tehran","keywords":"Lift (data mining); Modular design; Plan (archaeology); Renting; A* search algorithm; Engineering; Computer science; Industrial engineering; Transport engineering; Algorithm; Civil engineering; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001681595,0.0001623331,0.0002274951,0.0003289279,0.00004963691,0.00004316081,0.00005332049,0.0001958558,0.00003715827],"category_scores_gemma":[0.00005120069,0.0001987583,0.00002754299,0.0005992821,0.0001123579,0.0009449704,0.000004237425,0.000124614,0.000001528308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036116,"about_ca_system_score_gemma":0.00004477168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003194944,"about_ca_topic_score_gemma":0.00003041051,"domain_scores_codex":[0.9987403,0.00006532337,0.0006488983,0.0002579864,0.0001498938,0.0001375592],"domain_scores_gemma":[0.9994019,0.00004299814,0.0001624848,0.0001147623,0.0002184366,0.00005945741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003246684,0.00002004277,0.001906339,0.0002034556,0.00001467339,3.160148e-7,0.000791737,0.6036192,0.01539285,0.009691392,0.00001158927,0.368316],"study_design_scores_gemma":[0.00103706,0.00008443438,0.004368116,0.00006281232,0.00001549354,0.00002258366,0.0009919546,0.9809268,0.01120265,0.00107043,0.00004304677,0.0001746538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2022505,0.00006909423,0.7963277,0.0001271677,0.0003710405,0.0005109349,0.0000213466,0.0002033405,0.0001189042],"genre_scores_gemma":[0.8839837,0.00008971361,0.1155012,0.0000250836,0.00008349257,0.00008918003,0.0002062553,0.00002036794,0.000001025583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6817332,"threshold_uncertainty_score":0.8105126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007463724938484093,"score_gpt":0.2098089154132729,"score_spread":0.2023451904747888,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}